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A method for increasing expressivity of Gene Ontology annotations using a compositional approach

Overview of attention for article published in BMC Bioinformatics, May 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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15 X users
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3 Facebook pages

Citations

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78 Dimensions

Readers on

mendeley
85 Mendeley
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5 CiteULike
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Title
A method for increasing expressivity of Gene Ontology annotations using a compositional approach
Published in
BMC Bioinformatics, May 2014
DOI 10.1186/1471-2105-15-155
Pubmed ID
Authors

Rachael P Huntley, Midori A Harris, Yasmin Alam-Faruque, Judith A Blake, Seth Carbon, Heiko Dietze, Emily C Dimmer, Rebecca E Foulger, David P Hill, Varsha K Khodiyar, Antonia Lock, Jane Lomax, Ruth C Lovering, Prudence Mutowo-Meullenet, Tony Sawford, Kimberly Van Auken, Valerie Wood, Christopher J Mungall

Abstract

The Gene Ontology project integrates data about the function of gene products across a diverse range of organisms, allowing the transfer of knowledge from model organisms to humans, and enabling computational analyses for interpretation of high-throughput experimental and clinical data. The core data structure is the annotation, an association between a gene product and a term from one of the three ontologies comprising the GO. Historically, it has not been possible to provide additional information about the context of a GO term, such as the target gene or the location of a molecular function. This has limited the specificity of knowledge that can be expressed by GO annotations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
United Kingdom 2 2%
Netherlands 1 1%
Colombia 1 1%
Germany 1 1%
France 1 1%
Unknown 75 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 28%
Student > Ph. D. Student 18 21%
Student > Master 10 12%
Student > Doctoral Student 6 7%
Student > Bachelor 5 6%
Other 12 14%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 33%
Computer Science 17 20%
Biochemistry, Genetics and Molecular Biology 15 18%
Medicine and Dentistry 5 6%
Engineering 4 5%
Other 7 8%
Unknown 9 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 July 2014.
All research outputs
#3,312,561
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#1,159
of 7,454 outputs
Outputs of similar age
#33,162
of 228,764 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 151 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 228,764 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.